{"id":"https://openalex.org/W2407656279","doi":"https://doi.org/10.1109/icassp.2016.7472849","title":"Title assignment for automatic topic segments in TV broadcast news","display_name":"Title assignment for automatic topic segments in TV broadcast news","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2407656279","doi":"https://doi.org/10.1109/icassp.2016.7472849","mag":"2407656279"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053987528","display_name":"Abdessalam Bouchekif","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108471","display_name":"Le Mans Universit\u00e9","ror":"https://ror.org/01mtcc283","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210108471"]},{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Abdessalam Bouchekif","raw_affiliation_strings":["Laboratoire d'Informatique de l'Universite du Maine, LIUM, France","Orange Labs, Lannion, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire d'Informatique de l'Universite du Maine, LIUM, France","institution_ids":["https://openalex.org/I4210108471"]},{"raw_affiliation_string":"Orange Labs, Lannion, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111987611","display_name":"G\u00e9raldine Damnati","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Geraldine Damnati","raw_affiliation_strings":["Orange Labs, Lannion, France"],"affiliations":[{"raw_affiliation_string":"Orange Labs, Lannion, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106430617","display_name":"Delphine Charlet","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Delphine Charlet","raw_affiliation_strings":["Orange Labs, Lannion, France"],"affiliations":[{"raw_affiliation_string":"Orange Labs, Lannion, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056103113","display_name":"Nathalie Camelin","orcid":"https://orcid.org/0000-0001-6786-1372"},"institutions":[{"id":"https://openalex.org/I4210108471","display_name":"Le Mans Universit\u00e9","ror":"https://ror.org/01mtcc283","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210108471"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nathalie Camelin","raw_affiliation_strings":["Laboratoire d'Informatique de l'Universite du Maine, LIUM, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire d'Informatique de l'Universite du Maine, LIUM, France","institution_ids":["https://openalex.org/I4210108471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081852717","display_name":"Yannick Est\u00e8ve","orcid":"https://orcid.org/0000-0002-3656-8883"},"institutions":[{"id":"https://openalex.org/I4210108471","display_name":"Le Mans Universit\u00e9","ror":"https://ror.org/01mtcc283","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210108471"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yannick Esteve","raw_affiliation_strings":["Laboratoire d'Informatique de l'Universite du Maine, LIUM, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire d'Informatique de l'Universite du Maine, LIUM, France","institution_ids":["https://openalex.org/I4210108471"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5053987528"],"corresponding_institution_ids":["https://openalex.org/I19370010","https://openalex.org/I4210108471"],"apc_list":null,"apc_paid":null,"fwci":1.3302,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.87011032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"23","issue":null,"first_page":"6100","last_page":"6104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8490297794342041},{"id":"https://openalex.org/keywords/newspaper","display_name":"Newspaper","score":0.762426495552063},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7210443615913391},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5598336458206177},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.551124095916748},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.49017009139060974},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.44060465693473816},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.44006574153900146},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4348208010196686},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.41791537404060364},{"id":"https://openalex.org/keywords/conjunction","display_name":"Conjunction (astronomy)","score":0.4147467613220215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3347323536872864},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.10454893112182617},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07732638716697693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8490297794342041},{"id":"https://openalex.org/C201280247","wikidata":"https://www.wikidata.org/wiki/Q11032","display_name":"Newspaper","level":2,"score":0.762426495552063},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7210443615913391},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5598336458206177},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.551124095916748},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.49017009139060974},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.44060465693473816},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.44006574153900146},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4348208010196686},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.41791537404060364},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.4147467613220215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3347323536872864},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.10454893112182617},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07732638716697693},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2016.7472849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01433186v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01433186","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), 2016, Shangai, China","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W976440716","https://openalex.org/W1557074680","https://openalex.org/W1599789819","https://openalex.org/W1828401780","https://openalex.org/W2016243284","https://openalex.org/W2029858480","https://openalex.org/W2106653866","https://openalex.org/W2113499583","https://openalex.org/W2118612506","https://openalex.org/W2123427850","https://openalex.org/W2127053380","https://openalex.org/W2153252192","https://openalex.org/W2153579005","https://openalex.org/W2159083595","https://openalex.org/W2166776180","https://openalex.org/W2168332560","https://openalex.org/W2169142063","https://openalex.org/W2394489547","https://openalex.org/W2407578762","https://openalex.org/W3152202016","https://openalex.org/W4255198209","https://openalex.org/W4294170691","https://openalex.org/W6625477637","https://openalex.org/W6638575021","https://openalex.org/W6711960499","https://openalex.org/W6714002346"],"related_works":["https://openalex.org/W1573992054","https://openalex.org/W1599690842","https://openalex.org/W2753053412","https://openalex.org/W2319693127","https://openalex.org/W308539617","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W1940044583","https://openalex.org/W2806903871","https://openalex.org/W4320802053"],"abstract_inverted_index":{"This":[0,57],"paper":[1],"addresses":[2],"the":[3,28,36,39,64,70,75,78,80,88,115,120,130,133],"task":[4,43],"of":[5,30,66,73,82,132,135],"assigning":[6],"a":[7,24,31,53,83,125],"title":[8,29,140],"to":[9,22,90,156,159],"topic":[10,25,49,136,139],"segments":[11,50],"automatically":[12],"extracted":[13],"from":[14],"TV":[15,100],"Broadcast":[16,101],"News":[17,102,117],"video":[18],"recordings.":[19],"We":[20,123],"propose":[21],"associate":[23],"segment":[26,76,137],"with":[27,110],"newspaper":[32,46,68],"article":[33],"collected":[34,113],"on":[35,97],"web":[37],"at":[38,119],"same":[40,121],"date.":[41],"The":[42,148],"implies":[44],"pairing":[45],"articles":[47,112],"and":[48,77,87,142,146,154],"by":[51],"maximising":[52],"given":[54],"similarity":[55,85],"measure.":[56],"approach":[58,149],"raises":[59],"several":[60],"issues,":[61],"such":[62],"as":[63],"selection":[65],"candidate":[67],"articles,":[69,79],"vectorial":[71],"representation":[72],"both":[74],"choice":[81],"suitable":[84],"measure,":[86],"robustness":[89],"automatic":[91,160],"segmentation":[92],"errors.":[93],"Experiments":[94],"were":[95],"conducted":[96],"various":[98],"French":[99],"shows":[103],"recorded":[104],"during":[105],"one":[106],"week,":[107],"in":[108],"conjunction":[109],"text":[111],"through":[114],"Google":[116],"homepage":[118],"period.":[122],"introduce":[124],"full":[126],"evaluation":[127],"framework":[128],"allowing":[129],"measurement":[131],"quality":[134],"retrieval,":[138],"assignment":[141],"also":[143],"joint":[144],"retrieval":[145],"titling.":[147],"yields":[150],"good":[151],"titling":[152],"performance":[153],"reveals":[155],"be":[157],"robust":[158],"segmentation.":[161]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}